Sampling

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo ICLR 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers AISTATS 2025 Top-n𝜎: Eliminating Noise in Logit Space for Robust Token Sampling of LLM ACL 2025 Training Neural Samplers with Reverse Diffusive KL Divergence AISTATS 2025 When do GFlowNets learn the right distribution? ICLR 2025 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024 Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo COLT 2024 Fast Reliability Estimation for Neural Networks with Adversarial Attack-Driven Importance Sampling UAI 2024 Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm COLT 2024 Local and Global Decoding in Text Generation EMNLP 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024 Using Autodiff to Estimate Posterior Moments, Marginals and Samples UAI 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 A Coreset Learning Reality Check AAAI 2023 A Faster Practical Approximation Scheme for the Permanent AAAI 2023 A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023 City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC AAAI 2023 Coverage-centric Coreset Selection for High Pruning Rates ICLR 2023 Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023 Greedy Poisson Rejection Sampling NeurIPS 2023 Improving multiple-try Metropolis with local balancing JMLR 2023 Randomized geometric tools for anomaly detection in stock markets AISTATS 2023